How much does Mistral Embed cost?

Billing is usage-based: $0.1 per million input tokens. There is no fixed monthly fee. You pay only for the text you embed.

Is Mistral Embed compatible with OpenAI code?

Yes. Hormouz exposes an OpenAI-compatible API, so you call the standard embeddings endpoint. Change the base URL to Hormouz and swap in your Hormouz key. Your existing client libraries work without a rewrite.

What is Mistral Embed used for?

It is used for semantic search, retrieval-augmented generation (RAG), document clustering and result ranking. Anywhere you need to compare text by meaning rather than exact words.

Does Mistral Embed generate text?

No. It is an embedding model that outputs a vector per input. For chat or text generation you would use a Mistral text model; Mistral Embed handles the search and retrieval side.

Mistral: Mistral Embed 2312: AI model

Mistral Embed turns text into dense vectors for semantic search and RAG, with a 8K-token input window. Reachable from inside Iran through Hormouz.

Context window:: 8,192 tokens
Input:: $0.1/1M tokens
Output:: $0/1M tokens
Type:: embedding

Embeddings

Mistral Embed is a text embedding model from the Mistral family, designed for semantic search and retrieval-augmented generation. It maps text to dense numeric vectors so that passages with similar meaning end up close together, which is the foundation of good search and retrieval.

Typical uses are building a knowledge base for RAG, powering similarity search, clustering documents and ranking results. Its 8K-token input window lets you embed reasonably long passages per call. It is served through Hormouz behind an OpenAI-compatible API: point your base URL at Hormouz, drop in a Hormouz key, and existing OpenAI SDK code runs unchanged against the embeddings endpoint.

Pricing is usage-based: $0.1 per million input tokens. Hormouz provides stable access from inside Iran, with no foreign credit card or circumvention tooling required.

Mistral Embed is a specialized embedding model for text data, optimized for semantic search and RAG applications. Developed by Mistral AI in late 2023, it produces 1024-dimensional vectors that effectively...

Quickstart

curl https://api.hormouz.net/v1/embeddings \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"mistralai/mistral-embed-2312","input":"The quick brown fox"}'

Specs

Vendor	Mistral AI
Type	Embedding
Context window	8,192 tokens
Pricing	$0.10/M in · $0.00/M out
API	embeddings

Code example

cURL

curl https://api.hormouz.net/v1/embeddings \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"mistralai/mistral-embed-2312","input":"The quick brown fox"}'

Python

from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
resp = client.embeddings.create(model="mistralai/mistral-embed-2312", input="The quick brown fox")
print(resp.data[0].embedding)

JavaScript

import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const resp = await client.embeddings.create({
  model: "mistralai/mistral-embed-2312",
  input: "The quick brown fox",
});
console.log(resp.data[0].embedding);

Buy the Mistral: Mistral Embed 2312 API, paid in rial

Buy credit with an Iranian bank card; no foreign card or account needed.
One Hormouz key reaches Mistral: Mistral Embed 2312 and 600+ other models, and you pay only for what you use.
No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.

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Use via Hormouz

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FAQ

How much does Mistral Embed cost?: Billing is usage-based: $0.1 per million input tokens. There is no fixed monthly fee. You pay only for the text you embed.
How do I access Mistral Embed from inside Iran?: Create an account on Hormouz and generate an API key. Hormouz provides stable access from inside Iran, with no foreign credit card or circumvention tooling required.
Is Mistral Embed compatible with OpenAI code?: Yes. Hormouz exposes an OpenAI-compatible API, so you call the standard embeddings endpoint. Change the base URL to Hormouz and swap in your Hormouz key. Your existing client libraries work without a rewrite.
What is Mistral Embed used for?: It is used for semantic search, retrieval-augmented generation (RAG), document clustering and result ranking. Anywhere you need to compare text by meaning rather than exact words.
Does Mistral Embed generate text?: No. It is an embedding model that outputs a vector per input. For chat or text generation you would use a Mistral text model; Mistral Embed handles the search and retrieval side.

Updated 2026-10-13